Senior AI Engineer - Practice Systems & Clinical Intelligence (w/m)

Ärztekasse Genossenschaft develops integrated software solutions for healthcare professionals, supporting medical practices with secure, efficient, and intelligent digital services. To scale and mature our AI capabilities within the practice management system, we are looking for a Senior AI Engineer with strong technical leadership and hands-on delivery experience., As a Senior AI Engineer, you will take technical ownership of AI components and services integrated into our practice system. You will drive the design, implementation, and operational excellence of AI-powered features while ensuring reliability, compliance, and seamless integration into clinical and administrative workflows., * Own the end-to-end lifecycle of AI services, from design and implementation to production operation and continuous improvement

• Design and implement scalable, production-grade AI architectures integrated into existing backend systems
• Lead the development of speech-to-text and NLP / LLM-based pipelines for extraction, structuring, summarization, and generation of domain-specific content
• Define and implement prompting strategies, orchestration flows, validation layers, and fallback mechanisms for LLM-based systems
• Establish human-in-the-loop patterns, review workflows, and quality gates for clinically relevant AI outputs
• Define and apply model evaluation, monitoring, and observability standards (accuracy, drift, latency, cost)
• Ensure data privacy, security, and regulatory compliance across all AI solutions
• Support and guide AI-assisted data migration and import workflows
• Collaborate closely with product management, software engineering, data teams, and domain experts
• Provide technical guidance and mentorship to other engineers in AI-related topics
• Contribute to AI platform foundations, reusable components, and engineering best practices

Scope Clarification

This is a hands-on senior engineering role with technical ownership. The role does not define overall product or corporate AI strategy but shapes implementation patterns, quality standards, and technical direction within an agreed framework.

• Several years of experience as an AI Engineer, Senior ML Engineer, or Applied AI Engineer
• Deep hands-on experience with NLP, speech processing, and LLM-based systems in production
• Strong software engineering background (APIs, distributed systems, production deployments)
• Experience designing scalable and reliable AI services
• Proven ability to handle model evaluation, monitoring, and lifecycle management
• Strong understanding of data privacy, security, and compliance, ideally in regulated environments
• Ability to work autonomously and take technical ownership
• Very good English skills (German or French is a plus)

Nice to Have

• Experience in healthcare or clinical systems
• Familiarity with clinical documentation standards (e.g. SOAP)
• Knowledge of medical terminologies, billing, or tariff systems
• Experience with human-centered or assistive AI systems
• Experience mentoring engineers or leading technical initiatives

Expected Impact

• Stable, scalable, and trustworthy AI services in production
• Reduced documentation and administrative workload for healthcare professionals
• Higher quality and consistency of clinical data
• Faster delivery and maturation of AI features
• Stronger AI engineering practices across the organization